{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 自带小型数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(506, 13) (506,)\n",
      "[[6.3200e-03 1.8000e+01 2.3100e+00 0.0000e+00 5.3800e-01 6.5750e+00\n",
      "  6.5200e+01 4.0900e+00 1.0000e+00 2.9600e+02 1.5300e+01 3.9690e+02\n",
      "  4.9800e+00]\n",
      " [2.7310e-02 0.0000e+00 7.0700e+00 0.0000e+00 4.6900e-01 6.4210e+00\n",
      "  7.8900e+01 4.9671e+00 2.0000e+00 2.4200e+02 1.7800e+01 3.9690e+02\n",
      "  9.1400e+00]\n",
      " [2.7290e-02 0.0000e+00 7.0700e+00 0.0000e+00 4.6900e-01 7.1850e+00\n",
      "  6.1100e+01 4.9671e+00 2.0000e+00 2.4200e+02 1.7800e+01 3.9283e+02\n",
      "  4.0300e+00]]\n",
      "[24.  21.6 34.7]\n"
     ]
    }
   ],
   "source": [
    "from sklearn import datasets\n",
    "# 波士顿房价（适用于回归问题）\n",
    "X, y = datasets.load_boston(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(569, 30) (569,)\n",
      "[[1.799e+01 1.038e+01 1.228e+02 1.001e+03 1.184e-01 2.776e-01 3.001e-01\n",
      "  1.471e-01 2.419e-01 7.871e-02 1.095e+00 9.053e-01 8.589e+00 1.534e+02\n",
      "  6.399e-03 4.904e-02 5.373e-02 1.587e-02 3.003e-02 6.193e-03 2.538e+01\n",
      "  1.733e+01 1.846e+02 2.019e+03 1.622e-01 6.656e-01 7.119e-01 2.654e-01\n",
      "  4.601e-01 1.189e-01]\n",
      " [2.057e+01 1.777e+01 1.329e+02 1.326e+03 8.474e-02 7.864e-02 8.690e-02\n",
      "  7.017e-02 1.812e-01 5.667e-02 5.435e-01 7.339e-01 3.398e+00 7.408e+01\n",
      "  5.225e-03 1.308e-02 1.860e-02 1.340e-02 1.389e-02 3.532e-03 2.499e+01\n",
      "  2.341e+01 1.588e+02 1.956e+03 1.238e-01 1.866e-01 2.416e-01 1.860e-01\n",
      "  2.750e-01 8.902e-02]\n",
      " [1.969e+01 2.125e+01 1.300e+02 1.203e+03 1.096e-01 1.599e-01 1.974e-01\n",
      "  1.279e-01 2.069e-01 5.999e-02 7.456e-01 7.869e-01 4.585e+00 9.403e+01\n",
      "  6.150e-03 4.006e-02 3.832e-02 2.058e-02 2.250e-02 4.571e-03 2.357e+01\n",
      "  2.553e+01 1.525e+02 1.709e+03 1.444e-01 4.245e-01 4.504e-01 2.430e-01\n",
      "  3.613e-01 8.758e-02]]\n",
      "[0 0 0]\n"
     ]
    }
   ],
   "source": [
    "# 威斯康辛州乳腺癌数据（适用于分类问题）\n",
    "X, y = datasets.load_breast_cancer(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(442, 10) (442,)\n",
      "[[ 0.03807591  0.05068012  0.06169621  0.02187235 -0.0442235  -0.03482076\n",
      "  -0.04340085 -0.00259226  0.01990842 -0.01764613]\n",
      " [-0.00188202 -0.04464164 -0.05147406 -0.02632783 -0.00844872 -0.01916334\n",
      "   0.07441156 -0.03949338 -0.06832974 -0.09220405]\n",
      " [ 0.08529891  0.05068012  0.04445121 -0.00567061 -0.04559945 -0.03419447\n",
      "  -0.03235593 -0.00259226  0.00286377 -0.02593034]]\n",
      "[151.  75. 141.]\n"
     ]
    }
   ],
   "source": [
    "# 糖尿病数据（适用于回归任务）\n",
    "X,y = datasets.load_diabetes(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1797, 64) (1797,)\n",
      "[[ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
      "  15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
      "   0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
      "   0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n",
      " [ 0.  0.  0. 12. 13.  5.  0.  0.  0.  0.  0. 11. 16.  9.  0.  0.  0.  0.\n",
      "   3. 15. 16.  6.  0.  0.  0.  7. 15. 16. 16.  2.  0.  0.  0.  0.  1. 16.\n",
      "  16.  3.  0.  0.  0.  0.  1. 16. 16.  6.  0.  0.  0.  0.  1. 16. 16.  6.\n",
      "   0.  0.  0.  0.  0. 11. 16. 10.  0.  0.]\n",
      " [ 0.  0.  0.  4. 15. 12.  0.  0.  0.  0.  3. 16. 15. 14.  0.  0.  0.  0.\n",
      "   8. 13.  8. 16.  0.  0.  0.  0.  1.  6. 15. 11.  0.  0.  0.  1.  8. 13.\n",
      "  15.  1.  0.  0.  0.  9. 16. 16.  5.  0.  0.  0.  0.  3. 13. 16. 16. 11.\n",
      "   5.  0.  0.  0.  0.  3. 11. 16.  9.  0.]]\n",
      "[0 1 2]\n",
      "0\n",
      "5\n",
      "9\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 手写数字数据集（适用于分类任务）\n",
    "X,y = datasets.load_digits(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    " \n",
    "'''绘制数字0'''\n",
    "num = np.array(X[0]).reshape((8,8))\n",
    "plt.matshow(num)\n",
    "print(target[0])\n",
    " \n",
    "'''绘制数字5'''\n",
    "num = np.array(X[15]).reshape((8,8))\n",
    "plt.matshow(num)\n",
    "print(target[15])\n",
    " \n",
    "'''绘制数字9'''\n",
    "num = np.array(X[9]).reshape((8,8))\n",
    "plt.matshow(num)\n",
    "print(target[9])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(150, 4) (150,)\n",
      "[[5.1 3.5 1.4 0.2]\n",
      " [4.9 3.  1.4 0.2]\n",
      " [4.7 3.2 1.3 0.2]]\n",
      "[0 0 0]\n"
     ]
    }
   ],
   "source": [
    "# Fisher的鸢尾花数据（适用于分类问题）\n",
    "X,y = datasets.load_iris(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(178, 13) (178,)\n",
      "[[1.423e+01 1.710e+00 2.430e+00 1.560e+01 1.270e+02 2.800e+00 3.060e+00\n",
      "  2.800e-01 2.290e+00 5.640e+00 1.040e+00 3.920e+00 1.065e+03]\n",
      " [1.320e+01 1.780e+00 2.140e+00 1.120e+01 1.000e+02 2.650e+00 2.760e+00\n",
      "  2.600e-01 1.280e+00 4.380e+00 1.050e+00 3.400e+00 1.050e+03]\n",
      " [1.316e+01 2.360e+00 2.670e+00 1.860e+01 1.010e+02 2.800e+00 3.240e+00\n",
      "  3.000e-01 2.810e+00 5.680e+00 1.030e+00 3.170e+00 1.185e+03]]\n",
      "[0 0 0]\n"
     ]
    }
   ],
   "source": [
    "# 红酒数据（适用于分类问题）\n",
    "X,y = datasets.load_wine(return_X_y=True)\n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 自定义数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a1a7ee128>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 产生服从正态分布的数据集\n",
    "from sklearn import datasets\n",
    "import matplotlib.pyplot as plt\n",
    " \n",
    "X,y = datasets.make_blobs(n_samples=1000, \n",
    "                          n_features=2, \n",
    "                          centers=4, \n",
    "                          cluster_std=1.0, \n",
    "                          center_box=(-10.0, 10.0), \n",
    "                          shuffle=True, \n",
    "                          random_state=None)\n",
    " \n",
    "plt.scatter(X[:,0],X[:,1],c=y,s=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a1a61fa90>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 产生同心圆样本点\n",
    "from sklearn import datasets\n",
    "import matplotlib.pyplot as plt\n",
    " \n",
    "X,y = datasets.make_circles(n_samples=10000, \n",
    "                            shuffle=True, \n",
    "                            noise=0.04,\n",
    "                            random_state=None, \n",
    "                            factor=0.8)\n",
    " \n",
    "plt.scatter(X[:,0],X[:,1],c=y,s=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100, 20) (100,)\n",
      "[[-0.19080165 -1.32293416  0.06917344  0.23203035 -0.10624574 -0.15105069\n",
      "  -0.04033156  1.23395531 -1.57460107  0.46418996  0.66580738 -0.68406241\n",
      "  -0.76254532 -0.34194078  0.44443984 -0.32677659  1.07961225  0.71481099\n",
      "  -0.19848317 -0.49687856]\n",
      " [ 0.06442872 -0.38576232  0.20367122  0.42817287  0.38242167  0.5402778\n",
      "  -0.06232808  1.22055238 -0.95569563 -0.53262191  0.03014075 -1.21838585\n",
      "   1.32192618 -0.23433147  0.22406613  1.24561227 -0.72394215 -0.91458008\n",
      "  -1.27831672  1.6512986 ]\n",
      " [ 0.97906068  1.27568885 -0.57472716  0.37578751 -0.13113103  0.17897034\n",
      "   0.80741797  1.44283516 -1.16121272  0.39011119 -0.51470012 -0.90307517\n",
      "   1.13368443  0.32588892 -1.34607106 -0.504536    0.56877087 -1.74607068\n",
      "  -0.8741031   0.03486478]]\n",
      "[0 1 0]\n"
     ]
    }
   ],
   "source": [
    "#生成模拟分类数据集\n",
    "from sklearn import datasets\n",
    " \n",
    "X,y = datasets.make_classification(n_samples=100, \n",
    "                                   n_features=20, \n",
    "                                   n_informative=2, \n",
    "                                   n_redundant=2, \n",
    "                                   n_repeated=0, \n",
    "                                   n_classes=2, \n",
    "                                   n_clusters_per_class=2, \n",
    "                                   weights=None, \n",
    "                                   flip_y=0.01, \n",
    "                                   class_sep=1.0, \n",
    "                                   hypercube=True, \n",
    "                                   shift=0.0, \n",
    "                                   scale=1.0, \n",
    "                                   shuffle=True, \n",
    "                                   random_state=None)\n",
    " \n",
    "print(X.shape, y.shape)\n",
    "print(X[:3])\n",
    "print(y[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a1b0556d8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 生成太极型非凸集样本点\n",
    "from sklearn import datasets\n",
    "import matplotlib.pyplot as plt\n",
    " \n",
    "X,y = datasets.make_moons(n_samples=1000, shuffle=True, noise=0.05, random_state=None)\n",
    " \n",
    "plt.scatter(X[:,0],X[:,1],c=y,s=8)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
